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12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
12 Weeks, 24 Lessons, AI for All!
《开源大模型食用指南》针对中国宝宝量身打造的基于Linux环境快速微调（全参数/Lora）、部署国内外开源大模型（LLM）/多模态大模型（MLLM）教程
A simple screen parsing tool towards pure vision based GUI agent
面向开发者的 LLM 入门教程，吴恩达大模型系列课程中文版
In-depth tutorials on LLMs, RAGs and real-world AI agent applications.
Neural Networks: Zero to Hero
此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
《Python Cookbook》 3rd Edition Translation
《动手学大模型Dive into LLMs》系列编程实践教程
Understanding Deep Learning - Simon J.D. Prince
Overview and tutorial of the LangChain Library
AIInfra（AI 基础设施）指AI系统从底层芯片等硬件，到上层软件栈支持AI大模型训练和推理。
An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
快速上手AI理论及应用实战：基础知识、Transformer、NLP、ML、DL、竞赛。含大量注释及数据集，力求每一位能看懂并复现。
The Elements of Statistical Learning (ESL)的中文翻译、代码实现及其习题解答。
This repository contains the exercises and its solution contained in the book "An Introduction to Statistical Learning" in python.
动手学Ollama，CPU玩转大模型部署，在线阅读地址：https://datawhalechina.github.io/handy-ollama/
机器学习/深度学习/Python/Go语言面试题笔试题(Machine learning Deep Learning Python and Golang Interview Questions)